This technique was repeated at different levels of the visual system and also allowed feature detectors to be identified, Video-2.

In the field of computer vision different feature detectors have been evaluated by several tests.

The notion of specific feature detectors is questioned on statistical grounds.

At an overview level, these feature detectors can (with some overlap) be divided into the following groups:

These animal experiments demonstrate that feature detectors seem to be a very primitive development.

Not surprisingly, there is also evidence that the human brain possesses these elementary feature detectors as well.

You start off with a stimulus, which is here, there are the various bits that feed into the feature detectors.

Words in an image were selected using 4 different feature detectors:

Appropriate feature detectors are then trained using these clusters, which can be used to obtain a set of candidate parts from images.

Building short decision trees for this problem results in the most computationally efficient feature detectors available.